Parameter estimation of frequency hopping signals based on analogue information converter

Abstract

Aiming at the shortcomings of the existing frequency hopping signal parameter estimation algorithms based on compressed sensing theory, such as weak anti-noise performance, high data transmission and processing, and high hardware implementation cost, this study proposes an improved frequency hopping signal parameter estimation algorithm based on analogue information converter called Baseband Parameter Estimation (BPE) method. BPE does not reconstruct the frequency hopping signal into the Nyquist spectrum, and after obtaining the support set of the signal, the parameter estimation of the frequency hopping signal is performed directly at the baseband. The processing of baseband spectral slices can convert unreconstructed signal parameter estimates into parameter estimates for certain support sets, which makes BPE possible. Simulation experiments show that compared with the existing parameter estimation algorithm, BPE can not only greatly reduce the bandwidth and storage pressure required for subsequent transmission, but also has good anti-noise performance.